GeneSetDB: A comprehensive meta-database, statistical and visualisation framework for gene set analysis

Hiromitsu Araki, Christoph Knapp, Peter Tsai, Cristin Print

研究成果: Contribution to journalArticle査読

45 被引用数 (Scopus)

抄録

Most " omics" experiments require comprehensive interpretation of the biological meaning of gene lists. To address this requirement, a number of gene set analysis (GSA) tools have been developed. Although the biological value of GSA is strictly limited by the breadth of the gene sets used, very few methods exist for simultaneously analysing multiple publically available gene set databases. Therefore, we constructed GeneSetDB (http://genesetdb.auckland.ac.nz/haeremai.html), a comprehensive meta-database, which integrates 26 public databases containing diverse biological information with a particular focus on human disease and pharmacology. GeneSetDB enables users to search for gene sets containing a gene identifier or keyword, generate their own gene sets, or statistically test for enrichment of an uploaded gene list across all gene sets, and visualise gene set enrichment and overlap using a clustered heat map.

本文言語英語
ページ(範囲)76-82
ページ数7
ジャーナルFEBS Open Bio
2
DOI
出版ステータス出版済み - 2012
外部発表はい

All Science Journal Classification (ASJC) codes

  • 生化学、遺伝学、分子生物学(全般)

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